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API MPMS CH 22.6: Testing Protocols for Gas Chromatographs : Reaffirmed

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API RP 1174: Onshore Hazardous Liquid Pipeline Emergency Preparedness and Response : Reaffirmed

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API STD 624: Type Testing of Rising Stem Valves Equipped with Flexible Graphite Packing for Fugitive

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API STD 20G: Welding Services for Equipment used in the Petroleum and Natural Gas Industry : Reaffirmed

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API STD 624: Errata 2

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API RP 1173: Pipeline Safety Management Systems

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ISO 14495:2003

ISO 14495:2003 Information technology – Lossless and near-lossless compression of continuous-tone still images: Extensions – Part 2:

CDN $351.00

SKU: bd05b53517c4 Category:

Description

ISO/IEC 14495-2:2003 defines a set of lossless (bit-preserving) and nearly lossless (where the error for each reconstructed sample is bounded by a predefined value) compression methods for coding continuous-tone (including bi-level), gray-scale, or colour digital still images.

ISO/IEC 14495-2:2003:

  • specifies extensions (including arithmetic coding, extension of near lossless coding, extension of prediction and extension of Golomb coding) to processes for converting source image data to compressed image data;
  • specifies extensions to processes for converting compressed image data to reconstructed image data including an extension for sample tranformation for inverse colour transforms;
  • specifies coded representations for compressed image data;
  • provides guidance on how to implement these processes in practice.
Edition

2

Published Date

2003-04-02

Status

PUBLISHED

Pages

55

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

ISO/IEC 14495-2:2003 defines a set of lossless (bit-preserving) and nearly lossless (where the error for each reconstructed sample is bounded by a predefined value) compression methods for coding continuous-tone (including bi-level), gray-scale, or colour digital still images.

ISO/IEC 14495-2:2003:

  • specifies extensions (including arithmetic coding, extension of near lossless coding, extension of prediction and extension of Golomb coding) to processes for converting source image data to compressed image data;
  • specifies extensions to processes for converting compressed image data to reconstructed image data including an extension for sample tranformation for inverse colour transforms;
  • specifies coded representations for compressed image data;
  • provides guidance on how to implement these processes in practice.

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